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Candidates applying for the CUET Examination 2022 can check out the topics and units included in the syllabus of Computer Science/Informatics Practices.

Section A

 Exception and File Handling in Python Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try – except – else clause, Try – finally clause, recovering and continuing with finally, built-in exception classes. File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes. Database Concepts Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys – candidate key, primary key, alternate key, foreign key; Relational algebra: selection, projection, union, set difference and cartesian product; Structured Query Language Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data Types Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, Data Query: SELECT, FROM, WHERE Data Manipulation: INSERT, UPDATE, DELETE Math functions: POWER (), ROUND (), MOD (). 

Chapter 1: Exception and File Handling in Python

 Chapter 2: Stack Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM (). Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME (). Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*). Querying and manipulating data using Group by, Having, Order by. Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN Computer Networks Introduction to computer networks, Evolution of networking, Network types: LAN, WAN, MAN Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies Basic concept of MAC and IP Address Difference between Internet and web 

Section B1: 

Computer Science Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try – except – else clause, Try – finally clause, recovering and continuing with finally, built-in exception classes. File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes. Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack (PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix notations, evaluating arithmetic expressions using stack, conversion of Infix expression to postfix expression Page | 4 

Chapter 3: Queue Chapter 4: Searching Chapter 5: Sorting Chapter 6: Understanding Data Chapter 8: Structured Query Language Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and DELETE) and its implementation in Python. Introduction to DQueue and its implementation in Python. Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to identify best, worst and average cases. Implementation of searching techniques in Python. Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to identify best, worst and average cases. Implementation of sorting techniques in Python. Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type. Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation; visualization of data. Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys – candidate key, primary key, alternate key, foreign key; Relational algebra: selection, projection, union, set difference and cartesian product; Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data Types Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE, Data Query: SELECT, FROM, WHERE Data Manipulation: INSERT, UPDATE, DELETE Math functions: POWER (), ROUND (), MOD (). Chapter 7: Database Concepts Chapter 9: Computer Networks 

Chapter 1: Database Query using SQL 

Chapter 2: Data Handling using Pandas – I Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM (). Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME (). Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*). Querying and manipulating data using Group by, Having, Order by. Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN Introduction to computer networks, Evolution of networking, Network types: LAN, WAN, MAN Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway. Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies Basic concept of MAC and IP Address Difference between Internet and web 

Section B2:

 Information Practices Math functions: POWER (), ROUND (), MOD (). Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM (). Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME (). Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).Querying and manipulating data using Group by, Having, Order by. Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN Page | 6 Chapter 3: Data Handling using Pandas – II Chapter 4: Plotting Data using Matplotlib Chapter 6: Societal Impacts Introduction to Python libraries- Pandas, NumPy, Matplotlib. Data structures in Pandas – Series and DataFrames. Series: Creation of Series from – and array, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing. DataFrames: creation – from the dictionary of Series, list of dictionaries, Text/CSV files; display; iteration; Operations on Rows and columns: add, select, delete, rename; Head and Tail functions; Indexing usingLabels, Boolean Indexing; Styling & Formatting data, Head and Tail functions; Joining, Merging and Concatenations. Importing/Exporting Data between CSV files and DataFrames. Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation,variance. DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting. Handling missing values – dropping and filling. Importing/Exporting Data between MySQL database and Pandas. Purpose of plotting; drawing and saving t h e following types of plots using Matplotlib – line plot, bargraph, histogram, pie chart, frequency polygon, box plot, and scatter plot. Customizing plots: color, style (dashed, dotted), width; adding label, title, and legend in plots. Introduction to Networks, Types of networks: LAN, MAN, WAN. Network Devices: modem, hub, switch, repeater, router, gateway Network Topologies: Star, Bus, Tree, Mesh. Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP. Website: Introduction, the difference between a website and webpage, static vs dynamic web page, webserver, and hosting of a website. Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins,cookies. Digital footprint, Etiquettes for Net surfing and for communicating through social media, data protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing and Chapter 5: Introduction to Computer Networks Page | 7 Chapter 11: Security Aspects copyrights, Free and Open Source Software (FOSS), Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime. E-waste its a hazard and management Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects. Concept of communication, Types of Data Communication, switching techniques Communication Media: Wired Technologies – Twisted pair cable, Co-axial cable, Ethernet Cable, Optical Fibre; Introduction to mobile telecommunication technologies Wireless Technologies – Bluetooth, WLAN, Infrared, Microwave Network Protocol: Need for Protocol, Categorization and Examples of protocol, HTTP, FTP, IP, PPP; electronic mail protocol Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps) Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, http vs https Network Security Concepts: Firewall, Cookies, Hackers and Crackers Antivirus and their workings Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping

Download the CUET Computer Science/Informatics Practices Syllabus PDF here.

CUET Computer Science/Informatics Practices Syllabus – FAQs

What is the CUET Examination?

CUET is the Central Universities Entrance Test

What is the last date to apply for the CUET Examination?

The last date to apply for the CUET Examination is 6 May 2022. 

How many questions are there in the CUET paper?

A total of 50 questions will be asked in the paper out of which 40 must be attempted by the candidates.

What is the selection procedure for the CUET Examination?

The selection procedure for the CUET Examination is a written examination and an interview

How many sections are there in the Computer Science/Informatics Practices subject of CUET?

A total of 3 sections are there.